越来越觉得的缓存是计算机科学里最NB的发明(没有之一),本文就来介绍了一下在Python中使用AOP实现Redis缓存示例,小伙伴们一起来了解一下
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import redis enable = True #enable=False def readRedis(key): if enable: r = redis.Redis(host = '10.224.38.31' , port = 8690 ,db = 0 , password = 'xxxx' ) val = r.get(key) if val is None : print "can not find data for KEY:%s \n" % (key) return None else : print "====Get VALUE from Redis by KEY:%s \n" % ( key) return pickle.loads(val) else : print "disable cache" def writeRedis(key, val): r = redis.Redis(host = '10.224.38.31' , port = 8690 ,db = 0 , password = 'xxxx' ) if val is None : print "Val is None, don't save it to redis \n" else : r. set (key, pickle.dumps(val) ) r.expire(key, 60 * 60 * 24 * 7 ) #1week print "====Write value of KEY:%s to redis \n" % (key) import pickle, functools def cache(f): def wrapper( * args, * * kwargs): key = pickle.dumps((f.__name__, args, kwargs)).replace( "\n" ,"") val = readRedis(key) if val is None : val = f( * args, * * kwargs) # call the wrapped function, save in cache writeRedis(key, val) return val # read value from cache functools.update_wrapper(wrapper, f) # update wrapper's metadata return wrapper @cache def foo(n): return n * 2 foo( 10 ) # first call with parameter 10, sleeps foo( 10 ) # returns immediately foo( 15 ) # returns immediately foo( 19 ) # returns immediately |
以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持服务器之家。
原文链接:http://flyfoxs.iteye.com/blog/2383929?utm_source=tuicool&utm_medium=referral